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Architect, Data Science

2 days, 10 hours ago
United States
Full-time
Lead
Data Scientist
Data Science and Analytics
AWS Azure Computer Vision Databricks Feature Engineering GCP Generative AI Hugging Face LLM Machine Learning MLflow MLOps Python SQL
Apply Now
Lovelytics

Lovelytics

Lovelytics specializes in providing data, analytics, and AI consulting services, focusing on accelerating, optimizing, and modernizing clients' data and AI ecosystems to drive impactful business outcomes.

Professional Services
51-200
Founded 2017
View All Jobs 3

Description

  • Define business-value metrics and technical performance targets for client engagements.
  • Lead technical scoping, feasibility assessments, solution design, and Statements of Work for proposals and client pitches.
  • Design secure, scalable end-to-end ML/AI pipelines covering data analysis, feature engineering, model training, deployment, and MLOps.
  • Direct cross-functional teams of Data Scientists, Data Engineers, and ML Engineers to deliver solutions aligned with architectural standards.
  • Establish code quality standards, model validation protocols, and technical practices that ensure reliability and limit technical debt.
  • Communicate technical concepts, model trade-offs, and operational risks to technical teams and C-suite stakeholders.
  • Design operational workflows and user-integration strategies that drive adoption of AI/ML tools.
  • Conduct client enablement workshops and knowledge-transfer sessions to support sustainable solutions.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Economics, or a related field.
  • 7+ years of experience in data science and AI/ML, including large-scale solution deployments.
  • 5+ years of client-facing experience, preferably in a professional services firm.
  • Expert knowledge of Python and SQL, with hands-on Databricks experience including Unity Catalog, MLflow, and Delta Tables.
  • Proven experience designing and implementing solutions in at least two areas: forecasting, anomaly detection, recommendation systems, computer vision, risk modeling, or mathematical optimization.
  • Experience with commercial and open-source LLM APIs and tools such as Hugging Face, LangChain, DSPy, and coding assistants.
  • Experience rapidly prototyping, developing proofs of concept, delivering technical pre-sales presentations, and pricing engagements.
  • Strong communication and stakeholder-influencing skills across technical and executive audiences.
  • Experience with revenue management, price modeling, and causal inference.
  • Must be authorized to work without sponsorship.

Benefits

  • US base salary range of $140,000–$210,000 per year.
  • Work on cutting-edge data science and AI/ML projects for clients ranging from Fortune 500 companies to startups.
  • Rapid learning and mentorship from Data & AI thought leaders and practitioners.
  • Opportunities to speak at conferences and contribute as a blogger or writer.
  • Collaborative, diverse, and inclusive culture focused on experimentation and continuous improvement.

Interested in this position?

Apply directly on the company website

Apply Now

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